Cover Image

Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kordonsky, Tomer, Yamin, Maayan, Benzimra, Noam, LeVi, Amit, Mendelson, Avi
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Vulnerability Disclosure through Adaptive Black-Box Adversarial Attacks on NIDS
by: Ennaji, Sabrine, et al.
Published: (2025)

AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
by: Wang, Zhun, et al.
Published: (2025)

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning
by: Yan, Shenao, et al.
Published: (2026)

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
by: Gasmi, Tarek, et al.
Published: (2025)

LLM-based Vulnerable Code Augmentation: Generate or Refactor?
by: Ouchebara, Dyna Soumhane, et al.
Published: (2025)

AutoEG: Exploiting Known Third-Party Vulnerabilities in Black-Box Web Applications
by: Yang, Ruozhao, et al.
Published: (2026)

Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection
by: Fajar, Abdullah, et al.
Published: (2024)

Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities
by: Ferrag, Mohamed Amine, et al.
Published: (2024)

VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog
by: Long, Xiang, et al.
Published: (2025)

Narrow Secret Loyalty Dodges Black-Box Audits
by: Lamerton, Alfie, et al.
Published: (2026)

On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities
by: Park, Sangryu, et al.
Published: (2025)

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models
by: Lv, Peizhuo, et al.
Published: (2025)

Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
by: Domico, Kyle, et al.
Published: (2025)

FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting
by: Fu, Zhiyuan, et al.
Published: (2025)

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
by: Sheng, Ze, et al.
Published: (2025)

SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

Black-Box Access is Insufficient for Rigorous AI Audits
by: Casper, Stephen, et al.
Published: (2024)

LProtector: An LLM-driven Vulnerability Detection System
by: Sheng, Ze, et al.
Published: (2024)

Life-Cycle Routing Vulnerabilities of LLM Router
by: Lin, Qiqi, et al.
Published: (2025)

HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors
by: Yang, Jingxiao, et al.
Published: (2026)

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
by: Li, Xinghang, et al.
Published: (2025)

TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking
by: Yoon, Sung-Hoon, et al.
Published: (2026)

Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test
by: Zhu, Xiaoyuan, et al.
Published: (2025)

VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection
by: Nie, Yuzhou, et al.
Published: (2025)

Uncovering Vulnerabilities of LLM-Assisted Cyber Threat Intelligence
by: Meng, Yuqiao, et al.
Published: (2025)

The Trigger in the Haystack: Extracting and Reconstructing LLM Backdoor Triggers
by: Bullwinkel, Blake, et al.
Published: (2026)

LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
by: Fayyazi, Reza, et al.
Published: (2025)

Turning Black Box into White Box: Dataset Distillation Leaks
by: Chen, Huajie, et al.
Published: (2026)

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models
by: Rahimi, Eliron, et al.
Published: (2026)

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)

AutoPentest: Enhancing Vulnerability Management With Autonomous LLM Agents
by: Henke, Julius
Published: (2025)

LLM Agents can Autonomously Exploit One-day Vulnerabilities
by: Fang, Richard, et al.
Published: (2024)

Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models
by: Li, Yakai, et al.
Published: (2025)

How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World
by: Panebianco, Francesco, et al.
Published: (2025)

Data and Context Matter: Towards Generalizing AI-based Software Vulnerability Detection
by: Safdar, Rijha, et al.
Published: (2025)

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
by: Guan, Zelin, et al.
Published: (2026)

Automated Reasoning for Vulnerability Management by Design
by: Shaked, Avi, et al.
Published: (2025)

Behavior-Aware and Generalizable Defense Against Black-Box Adversarial Attacks for ML-Based IDS
by: Ennaji, Sabrine, et al.
Published: (2025)

PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization
by: Cheng, Ruoxi, et al.
Published: (2024)

Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models
by: Yang, Yiqi, et al.
Published: (2024)